All 2026 Conference Sessions

Gartner IT Symposium/Xpo™ 2026 conference dives deep into key topics for CIOs and IT leaders around AI, executive leadership, cybersecurity, operating models and more to help you address your organization’s mission-critical challenges.

Unlock the strategies shaping IT success in 2026

CIOs and IT leaders are at the forefront of technology transformation. Gartner IT Symposium/Xpo™ 2026 conference agenda delivers practical guidance and actionable insights to drive smarter, faster and more resilient outcomes. Discover solutions to today’s most pressing challenges and accelerate organizational success.

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Monday, 16 November, 2026

02:15 PM - 02:45 PM IST

Don't Ask If AI Can Do This Job
Mary Mesaglio, Distinguished VP Analyst, Gartner
Don't ask, "Can AI do this job?" Instead, ask how AI can solve your client's problem. This is because of two people challenges CIOs and IT teams face when trying to get value from AI: scarcity mindset and the doorman fallacy. Learn how to avoid these challenges through practical applications in AI enablement strategies. ... Show More Show Less
Tuesday, 17 November, 2026

11:00 AM - 11:30 AM IST

Sovereignty by Design: Building Optionality in a Fractured World
David Furlonger, Distinguished VP Analyst, Gartner
De‑globalization, technology sovereignty and fracturing standards are no longer tail risks; they’re design constraints for strategy, capital allocation and operating models. CEO will protect growth by building optionality, the ability to shift volumes, data and compute across jurisdictions without re‑platforming the enterprise. This session will show CIOs that sovereignty is not a “project”, but a design principle for strategy, technology and operations. ... Show More Show Less

12:30 PM - 01:00 PM IST

Reduce Opex and AI Token Costs With Platform Engineering
Manjunath Bhat, Distinguished VP Analyst, Gartner
AI’s explosive growth — especially agentic AI — has unleashed a new era of opex volatility, outpacing the predictability we achieved with cloud FinOps. Unlike cloud, AI’s inference and token costs are elusive, often blindsiding organizations as adoption accelerates. This results in chaotic, runaway expenses. Platform engineering must make cost control a first-class citizen, embedding financial accountability into every paved road to harness AI’s power without losing control of the bottom line. ... Show More Show Less

02:30 PM - 03:00 PM IST

Agents Aren’t Apps: Rethinking How IT Works for the AI Era
Enterprise IT has mastered the art of delivering applications, but AI agents operate on fundamentally different principles. This session exposes why traditional app-centric methods fall short for agents, and what CIOs must do to adapt. This session will examine organizational blind spots, share frameworks for agent-centric IT, and outline actionable steps for transforming your operating model. ... Show More Show Less

05:00 PM - 05:30 PM IST

Practical AI Governance: Preparing for Enforcement of the AI Act and the Wave of Global AI Regulations
Anushree Verma, Sr Director Analyst, Gartner
After the rush to adopt all things, AI comes the reality of having to govern AI capabilities embedded into every feature no matter how trivial. The EU AI act is one of hundreds of laws and for organizations operating in Europe and beyond. It is important to ensure that a defensible AI governance strategy is well established. This session will center on the practical governance of the AI act and how it serves as a foundation for global AI regulatory governance. ... Show More Show Less
Wednesday, 18 November, 2026

12:00 PM - 12:30 PM IST

Agentic AI Governance: Stop, Start, Continue
Dave Aron, Distinguished VP Analyst, Gartner
Examine the agentic-AI-specific governance and risk mitigation strategies. Stop lengthy processes and long-term thinking. Start establishing clear definitions for both AI agents and human roles, setting measurable goals, implementing real-time monitoring and creating codes of conduct for agents. Create guidance on delivering deterministic outcomes from probabilistic systems. Continue extending and evolving agentic AI governance to meet dynamic and autonomous nature of multiagent systems. ... Show More Show Less

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